Identification of Pathogens by Mass Spectrometry

Overview

Journal Clin Chem

Publisher Oxford University Press

Specialty Biochemistry

Date 2010 Feb 20

PMID 20167691

Citations 22

Authors

Yen-Peng Ho

P Muralidhar Reddy

Affiliations

Soon will be listed here.

Abstract

Background: Mass spectrometry (MS) is a suitable technology for microorganism identification and characterization.

Content: This review summarizes the MS-based methods currently used for the analyses of pathogens. Direct analysis of whole pathogenic microbial cells using MS without sample fractionation reveals specific biomarkers for taxonomy and provides rapid and high-throughput capabilities. MS coupled with various chromatography- and affinity-based techniques simplifies the complexity of the signals of the microbial biomarkers and provides more accurate results. Affinity-based methods, including those employing nanotechnology, can be used to concentrate traces of target microorganisms from sample solutions and, thereby, improve detection limits. Approaches combining amplification of nucleic acid targets from pathogens with MS-based detection are alternatives to biomarker analyses. Many data analysis methods, including multivariate analysis and bioinformatics approaches, have been developed for microbial identification. The review concludes with some current clinical applications of MS in the identification and typing of infectious microorganisms, as well as some perspectives.

Summary: Advances in instrumentation (separation and mass analysis), ionization techniques, and biological methodologies will all enhance the capabilities of MS for the analysis of pathogens.

Citing Articles

Multiplexing the Identification of Microorganisms via Tandem Mass Tag Labeling Augmented by Interference Removal through a Novel Modification of the Expectation Maximization Algorithm.

Alves G, Ogurtsov A, Porterfield H, Maity T, Jenkins L, Sacks D J Am Soc Mass Spectrom. 2024; 35(6):1138-1155.

PMID: 38740383 PMC: 11157548. DOI: 10.1021/jasms.3c00445.

Rapid discrimination of four Salmonella enterica serovars: A performance comparison between benchtop and handheld Raman spectrometers.

Yuan Q, Gu B, Liu W, Wen X, Wang J, Tang J J Cell Mol Med. 2024; 28(8):e18292.

PMID: 38652116 PMC: 11037414. DOI: 10.1111/jcmm.18292.

Distinguishing methicillin-resistant Staphylococcus aureus from methicillin-sensitive strains by combining FeO magnetic nanoparticle-based affinity mass spectrometry with a machine learning strategy.

Ma W, Chang C, Lin T, Chen Y Mikrochim Acta. 2024; 191(5):273.

PMID: 38635063 PMC: 11026280. DOI: 10.1007/s00604-024-06342-z.

Recent Advances in Surface Plasmon Resonance Sensors for Sensitive Optical Detection of Pathogens.

Park J, Cho Y, Kim T Biosensors (Basel). 2022; 12(3).

PMID: 35323450 PMC: 8946561. DOI: 10.3390/bios12030180.

Selective Capture and Identification of Methicillin-Resistant by Combining Aptamer-Modified Magnetic Nanoparticles and Mass Spectrometry.

Liu Y, Kumar K, Wu C, Chang K, Chiang C, Ho Y Int J Mol Sci. 2021; 22(12).

PMID: 34207373 PMC: 8234742. DOI: 10.3390/ijms22126571.

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